Асосий контентга ўтиш
AkademIndex

Маҳсулотлар

Ишлаб чиқувчилар учун

AkademBaseЭкотизим учун очиқ API
Боб

AI for Climate Risk Assessment and Ethical Portfolio Management

Deepak GuptaInstitute of Technology and Management, Gwalior, IndiaZiyodullayev SodiqTermez University of Economics and Service, Termez, UzbekistanMatkarimov MansurMamun University Khiva, UzbekistanKhayrulla UrozboevAlfraganus University, Tashkent, UzbeksitanElshod AlimardonovTashkent State University of Economics, Tashkent, UzbekistanAripov AzizKimyo International University in Tashkent, UzbekistanBerdiyev Anvar AbduraxmanovichDenov Institute of Entrepreneurship and Pedagogy, Uzbekistan
ABI

Аннотация

Artificial intelligence (AI) is revolutionizing climate risk assessment and ethical portfolio management by enabling sophisticated analysis of environmental, social, and governance (ESG) factors. This chapter examines the convergence of AI technologies with climate finance, exploring machine learning applications in climate risk modeling, carbon emissions prediction, and sustainable investment strategies. We analyze how deep learning algorithms enhance ESG rating accuracy, natural language processing extracts climate-related disclosures, and predictive models assess transition risks. The chapter synthesizes recent empirical evidence on AI-driven portfolio optimization incorporating ethical constraints, climate stress testing methodologies, and the pricing of carbon risk in financial markets. Key findings demonstrate that AI significantly improves climate risk quantification while raising critical questions about algorithmic transparency, data bias, and ethical governance. The integration of neuroscience insights with environmental ethics provides novel frameworks for mindful finance, where AI serves as a tool for both financial performance and planetary stewardship. This comprehensive analysis offers academics, practitioners, and policymakers actionable insights for implementing responsible AI in climate-conscious investment decision-making.

Ҳали таржима қилинмаган

Мавзулар

Идентификаторлар

Иқтибослар ва манбалар

0 та иқтибос0 та фойдаланилган манба